Proteomic Landscape of Pancreatic Cancer
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo Sapiens (human)
SUBMITTER: Janne Lehtiö
PROVIDER: PXD025120 | JPOST Repository | Fri May 20 00:00:00 BST 2022
REPOSITORIES: jPOST
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Project description:Pancreatic cancer (PC) is the sixth leading cause of cancer-associated death worldwide. Despite improvements in treatment methods, the 5-year survival rate of PC patients is still low. Although carbohydrate antigen (CA) 19-9 has been used as the most specific and sensitive biomarker for the diagnosis of PC, approximately 34% of PC patients may have a Lewis antigen-negative phenotype and secrete little, if any, CA19-9. Therefore, it is important to develop effective diagnostic methods for PC. In this study, we performed a global shotgun proteomics analysis using PC cell lines and a normal pancreatic ductal cell line. We identified 142 candidate proteins with differential expression in PC cells. A label-free semiquantitative method based on spectral counting and Gene Ontology analysis led to a total of 25 candidate proteins that could potentially be detected in blood. Validation studies revealed that the expression of fibulin-1 was lower in PC cells than in normal pancreatic ductal cells. Moreover, in vivo fibulin-1 expression was significantly lower in serum from PC patients than in healthy individuals. These findings suggest that lower blood levels of fibulin-1 may be a novel biomarker for the detection of PC.
2025-12-03 | PXD061294 | JPOST Repository
Project description:Purpose: To study the expression and function of a novel cell cycle regulatory protein, human ecdysoneless (Ecd), during pancreatic cancer (PC) pathogenesis. Experimental Design: Immunohistochemical expression profiling of Ecd was done in non-neoplastic normal pancreatic tissues and pancreatic ductal adenocarcinoma lesions (from tissue microarray and Rapid Autopsy program) as well as precancerous PanIN lesions and metastatic organs. To analyze the biological significance of Ecd in PC progression, Ecd was stably knocked down in PC cell line followed by in vitro and in vivo functional assays. Results: Normal pancreatic ducts show very weak to no Ecd expression compared to significant positive expression in PC tissues (mean±SE composite score: 0.3±0.2 and 3.8±0.2 respectively, p<0.0001) as well as in PanIN precursor lesions with a progressive increase in Ecd expression with increasing dysplasia (PanIN-1 to PanIN-3). Analysis of matched primary tumors and metastases from PC patients revealed that Ecd is highly expressed in both primary pancreatic tumor and in distant metastatic sites. Further, knockdown of Ecd suppressed cell proliferation in vitro and tumorigenicity of PC cells in mice orthotopic tumors. Microarray study revealed that Ecd regulates expression of glucose transporter GLUT4 in PC cells and was subsequently shown to modulate glucose uptake, lactate production and ATP generation by PC cells. Finally, knockdown of Ecd also reduced level of pAkt, key signaling molecule known to regulate aerobic glycolysis in cancer cells. Conclusion: Ecd is a novel tumor promoting factor that is differentially expressed in pancreatic cancer and potentially regulates glucose metabolism within cancer cells. Two-condition experiment, Ecd knockdown vs Scrambled cells. Biological replicates: 3 Ecd knockdownl, 3 Scrambled, independently grown and harvested. One replicate per array
2012-08-09 | E-GEOD-39988 | biostudies-arrayexpress
Project description:Purpose: To study the expression and function of a novel cell cycle regulatory protein, human ecdysoneless (Ecd), during pancreatic cancer (PC) pathogenesis. Experimental Design: Immunohistochemical expression profiling of Ecd was done in non-neoplastic normal pancreatic tissues and pancreatic ductal adenocarcinoma lesions (from tissue microarray and Rapid Autopsy program) as well as precancerous PanIN lesions and metastatic organs. To analyze the biological significance of Ecd in PC progression, Ecd was stably knocked down in PC cell line followed by in vitro and in vivo functional assays. Results: Normal pancreatic ducts show very weak to no Ecd expression compared to significant positive expression in PC tissues (mean±SE composite score: 0.3±0.2 and 3.8±0.2 respectively, p<0.0001) as well as in PanIN precursor lesions with a progressive increase in Ecd expression with increasing dysplasia (PanIN-1 to PanIN-3). Analysis of matched primary tumors and metastases from PC patients revealed that Ecd is highly expressed in both primary pancreatic tumor and in distant metastatic sites. Further, knockdown of Ecd suppressed cell proliferation in vitro and tumorigenicity of PC cells in mice orthotopic tumors. Microarray study revealed that Ecd regulates expression of glucose transporter GLUT4 in PC cells and was subsequently shown to modulate glucose uptake, lactate production and ATP generation by PC cells. Finally, knockdown of Ecd also reduced level of pAkt, key signaling molecule known to regulate aerobic glycolysis in cancer cells. Conclusion: Ecd is a novel tumor promoting factor that is differentially expressed in pancreatic cancer and potentially regulates glucose metabolism within cancer cells.
2012-08-10 | GSE39988 | GEO
Project description:Age-standardized incidence rates for pancreatic cancer (PC) in men have increased by 25% from 1957 to 2011 in Finland. The average age of diagnosis for PC is 69 years in Nordic males, whereas the average age of diagnosis of chronic pancreatitis (CP) is 40-50 years, but the cases overlap in age. By radiology the evaluation of a pancreatic mass, i.e. the differential diagnosis between CP and PC is often difficult. Preoperative needle biopsies are difficult to obtain and are demanding to interpret. New blood based biomarkers are needed. The accuracy of the only established biomarker for PC, CA 19-9 is rather poor in differentiating between benign and malignant mass of the pancreas. In this study, we have performed mass spectrometry HDMSE analysis of serum samples from patients with chronic pancreatitis and pancreatic cancer. We have quantified 652 proteins and performed detailed statistical analysis such as principal component analysis, orthogonal partial least square discriminant analysis and receiver operating curve analysis.
2017-06-09 | PXD005144 | Pride
Project description:Pancreatic Cancer (PC) has the worst 5-year survival rate of any cancer as of 2024, at just 13%. The late-stage diagnosis of these patients limits their treatment options, further compounding the problem. Early detection of PC, therefore, is the primary concern of most PC research, as it has the potential to make a substantial difference to the treatment and survival of these patients. Pancreatic cystic lesions (PCLs) are fluid-filled sacs, on or inside the pancreas, that have the potential to become premalignant. While some PCLs are completely benign, others have been shown to have malignant potential and could therefore play a role in the progression to PC. Using the 2018 European evidence-based guidelines for pancreatic cystic neoplasms, patients were classified as being either at a low- or high-risk of PC development. In this study, we profile the proteome of pancreatic cyst fluid from low-risk (n=15) and high-risk (n=17) patients with PCLs and identify differentially expressed proteins between these two risk classifications. We show that these PCF-based differentially expressed proteins have potential utility as biomarkers of risk stratification in this setting.
2025-01-06 | PXD057299 | Pride
Project description:The miRNA expression between normal and cancerous pancreatic tissues and identified preferentially expressed miRNAs. Two-condition experiment, pancreatic cancer vs. paired normal control. Biological replicates: 3 paired patients tissues.
2011-04-26 | E-GEOD-28862 | biostudies-arrayexpress
Project description:Age-standardized incidence rates for pancreatic cancer (PC) in men have increased by 25% from 1957 to 2011 in Finland. The average age of diagnosis for PC is 69 years in Nordic males, whereas the average age of diagnosis of chronic pancreatitis (CP) is 40-50 years, but the cases overlap in age. By radiology the evaluation of a pancreatic mass, i.e. the differential diagnosis between CP and PC is often difficult. Preoperative needle biopsies are difficult to obtain and are demanding to interpret. New blood based biomarkers are needed. The accuracy of the only established biomarker for PC, CA 19-9 is rather poor in differentiating between benign and malignant mass of the pancreas. In this study, we have performed mass spectrometry HDMSE analysis of serum samples from patients with chronic pancreatitis and pancreatic cancer. We have quantified 652 proteins and performed detailed statistical analysis such as principal component analysis, orthogonal partial least square discriminant analysis and receiver operating curve analysis.
2018-08-31 | MSV000082883 | MassIVE
Project description:Transcriptomic analysis of cancer samples helps to identify the mechanism and molecular markers of cancer. However, transcriptomic analyses of pancreatic ductal adenocarcinoma from the Japanese population are lacking. We performed RNA sequencing of flesh or frozen pancreatic ductal adenocarcinoma tissues and adjacent normal pancreatic tissue from 12 Japanese patients to identify genes critical for the clinical pathology of pancreatic cancer among the Japanese population.
2022-02-09 | GSE196009 | GEO
Project description:Pancreatic Cancer (PC) has the worst 5-year survival rate of any cancer as of 2024, at just 13%. The late-stage diagnosis of these patients limits their treatment options, further compounding the problem. Early detection of PC, therefore, is the primary concern of most PC research, as it has the potential to make a substantial difference to the treatment and survival of these patients. Pancreatic cystic lesions (PCLs) are fluid-filled sacs, on or inside the pancreas, that have the potential to become premalignant. While some PCLs are completely benign, others have been shown to have malignant potential and could therefore play a role in the progression to PC. Using the 2018 European evidence-based guidelines for pancreatic cystic neoplasms, patients were classified as being either at a low- or high-risk of PC development. In this study, we profile the proteome of serum from low-risk (n=45) and high-risk (n=23) patients with PCLs and identify differentially expressed proteins between these two risk classifications. We show that these serum-based differentially expressed proteins have potential utility as biomarkers of risk stratification in this setting.
2025-01-06 | PXD057661 | Pride
Project description:Pancreatic cancer (PC) is an aggressive cancer with a high mortality rate, necessitating the de-velopment of effective diagnostic, prognostic and predictive biomarkers for disease manage-ment. Aberrantly fucosylated proteins in PC are considered a valuable resource of clinically useful biomarkers. The main objective of the present study was to identify novel plasma glyco-biomarkers of PC using the iTRAQ quantitative proteomics approach coupled with Aleuria au-rantia lectin (AAL)-based glycopeptide enrichment and isotope-coded glycosylation site-specific tagging, with a view to analyzing the glycoproteome profiles of plasma samples from patients with non-metastatic and metastatic PC and gallstones (GS). As a result, 22 glycopeptides with significantly elevated levels in plasma samples of PC were identified. Fucosylated SERPINA1 (fuco-SERPINA1) was selected for further validation in 121 plasma samples (50 GS and 71 PC) using an AAL-based reverse lectin ELISA technique developed in-house. Our analyses revealed significantly higher plasma levels of fuco-SERPINA1 in PC than GS subjects (310.7 ng/ml v.s. 153.6 ng/ml, p = 0.0114). Elevated fuco-SERPINA1 levels were associated with higher TNM stage (p = 0.024) and poorer prognosis for overall survival (log-rank test, p = 0.0083). The increased plasma fuco-SERPINA1 levels support the utility of this protein as a novel prognosticator for PC.
2021-09-10 | PXD025150 | Pride